scholarly journals Recent Advances in the Modeling and Predicting Quality Parameters of Fruits and Vegetables during Postharvest Storage: A Review

2019 ◽  
Vol 20 (3) ◽  
pp. 506-520
Author(s):  
Fakhreddin Salehi
2018 ◽  
Vol 46 (2) ◽  
pp. 579-584 ◽  
Author(s):  
Feyza GÜRBÜZ ◽  
Bünyamin DEMİR ◽  
İkbal ESKİ ◽  
Zeynel Abidin KUŞ ◽  
Kadir Uğurtan YILMAZ ◽  
...  

Quality attributes are the major parameters designating market values of the agricultural goods and commodities. Several practices are applied to improve quality parameters of the fruits and vegetables. Such quality attributes should also be estimated through various approaches before to design of equipment and tools used in handling and processing of these goods and to design storage facilities. Data mining is a novel approach used to estimate various attributes or quality parameters of the fruits from previously measured attributes. Different algorithms embedded into data mining operations may yield quite accurate and reliable equations for estimation of quality attributes. Almond is a significant cash crop for growers. Since almond is quite tolerant to droughts and salinity, it is preferred in various parts of the country by producers. Weight is the primary quality parameter designating market value of the almonds. This study was conducted to estimate nut weights of seven different almond varieties and to develop an equation for the estimation of nut weights. Data mining approach was used to estimate nut weights from physical fruit quality attributes (kernel length, width, thickness, arithmetic mean diameter, geometric mean diameter, sphericity, surface area, volume, shape index and aspect ratio). Present findings revealed quite significant, accurate and practicable rules to estimate the nut weights of different almond varieties. It was concluded that data mining could be used as a reliable tool to estimate the nut weights of different almond varieties from the physical attributes of the fruits.


2015 ◽  
Vol 8 (3) ◽  
pp. 292-305 ◽  
Author(s):  
María L. Flores-López ◽  
Miguel A. Cerqueira ◽  
Diana Jasso de Rodríguez ◽  
António A. Vicente

2020 ◽  
Vol 99 ◽  
pp. 133-141 ◽  
Author(s):  
Zhenjiao Du ◽  
Xiangquan Zeng ◽  
Xiangxin Li ◽  
Xiaomeng Ding ◽  
Jiankang Cao ◽  
...  

2011 ◽  
Vol 74 (1) ◽  
pp. 149-153 ◽  
Author(s):  
TIANLI YUE ◽  
QINFANG DONG ◽  
CAIXIA GUO ◽  
RANDY W. WOROBO

The mycotoxin, patulin (4-hydroxy-4H-furo[3,2c]pyran-2[6H]-one), is a secondary metabolite produced mainly in rotten parts of fruits and vegetables, most notably apples and apple products, by a wide range of fungal species in the genera Penicillium, Aspergillus, and Byssochlamys. Due to its mutagenic and teratogenic nature and possible health risks to consumers, many countries have regulations to reduce levels of patulin in apple products. In the present study, reduction of patulin contamination in apple juice by using 10 different inactivated yeast strains was assessed. Our results indicated that nearly twofold differences in biomass existed among the 10 yeast strains. Eight of the 10 inactivated yeast strains could provide >50% patulin reduction in apple juice within 24 h, with the highest reduction rate being >72%. Furthermore, juice quality parameters, i.e., degrees Brix, total sugar, titratable acidity, color value, and clarity, of the treated apple juice were very similar to those of the untreated patulin-free juice. Potential applications of using inactivated yeast strain for patulin control are also discussed.


2017 ◽  
Vol 16 (5) ◽  
pp. 1151-1169 ◽  
Author(s):  
Caio G. Otoni ◽  
Roberto J. Avena-Bustillos ◽  
Henriette M. C. Azeredo ◽  
Marcos V. Lorevice ◽  
Márcia R. Moura ◽  
...  

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